Reproducibility of COVID-19 pre-prints

To examine the reproducibility of COVID-19 research, we create a dataset of pre-prints posted to arXiv, bioRxiv, and medRxiv between 28 January 2020 and 30 June 2021 that are related to COVID-19. We extract the text from these pre-prints and parse them looking for keyword markers signaling the avail...

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Detalles Bibliográficos
Autores principales: Collins, Annie, Alexander, Rohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252536/
https://www.ncbi.nlm.nih.gov/pubmed/35813409
http://dx.doi.org/10.1007/s11192-022-04418-2
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author Collins, Annie
Alexander, Rohan
author_facet Collins, Annie
Alexander, Rohan
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description To examine the reproducibility of COVID-19 research, we create a dataset of pre-prints posted to arXiv, bioRxiv, and medRxiv between 28 January 2020 and 30 June 2021 that are related to COVID-19. We extract the text from these pre-prints and parse them looking for keyword markers signaling the availability of the data and code underpinning the pre-print. For the pre-prints that are in our sample, we are unable to find markers of either open data or open code for 75% of those on arXiv, 67% of those on bioRxiv, and 79% of those on medRxiv.
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spelling pubmed-92525362022-07-05 Reproducibility of COVID-19 pre-prints Collins, Annie Alexander, Rohan Scientometrics Article To examine the reproducibility of COVID-19 research, we create a dataset of pre-prints posted to arXiv, bioRxiv, and medRxiv between 28 January 2020 and 30 June 2021 that are related to COVID-19. We extract the text from these pre-prints and parse them looking for keyword markers signaling the availability of the data and code underpinning the pre-print. For the pre-prints that are in our sample, we are unable to find markers of either open data or open code for 75% of those on arXiv, 67% of those on bioRxiv, and 79% of those on medRxiv. Springer International Publishing 2022-07-04 2022 /pmc/articles/PMC9252536/ /pubmed/35813409 http://dx.doi.org/10.1007/s11192-022-04418-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Collins, Annie
Alexander, Rohan
Reproducibility of COVID-19 pre-prints
title Reproducibility of COVID-19 pre-prints
title_full Reproducibility of COVID-19 pre-prints
title_fullStr Reproducibility of COVID-19 pre-prints
title_full_unstemmed Reproducibility of COVID-19 pre-prints
title_short Reproducibility of COVID-19 pre-prints
title_sort reproducibility of covid-19 pre-prints
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252536/
https://www.ncbi.nlm.nih.gov/pubmed/35813409
http://dx.doi.org/10.1007/s11192-022-04418-2
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